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Abstracted radon profiles for fingerprint recognition

Tushar Sandhan, Hyung Jin Chang, Jin Young Choi
2013 2013 IEEE International Conference on Image Processing  
We propose new features based on Abstracted Radon Profile (ARP). Proposed method uses global properties of an image and it does not necessitate any heavy preprocessing as in classical methods.  ...  Conventional minutiae-based fingerprint recognition approaches consider only local characteristics and their accuracy dramatically decreases as the number of available minutiae decreases.  ...  ABSTRACTED RADON PROFILE FEATURES Radon Transform Radon transform (RT) [9] is widely used in tomography for creating an image from cross sectional scans of an object.  ... 
doi:10.1109/icip.2013.6738856 dblp:conf/icip/SandhanCC13 fatcat:doximktdebfkfd2u3uanp3yrv4

Feature Extraction for Finger-Vein-Based Identity Recognition

George K. Sidiropoulos, Polixeni Kiratsa, Petros Chatzipetrou, George A. Papakostas
2021 Journal of Imaging  
This paper aims to provide a brief review of the feature extraction methods applied for finger vein recognition.  ...  The presented study is designed in a systematic way in order to bring light to the scientific interest for biometric systems based on finger vein biometric features.  ...  However, for this study, we decided to make use of two different well-known publication abstract and citation databases.  ... 
doi:10.3390/jimaging7050089 pmid:34460685 pmcid:PMC8321326 fatcat:r4epe2lg6vfvrepjlfhut7qx2i

A Preliminary Study on Various Off-line Hand Written Signature Verification Approaches

Meenakshi S Arya, Vandana S Inamdar
2010 International Journal of Computer Applications  
Biometrics can be classified into two broad categoriesbehavioral (signature verification, keystroke dynamics, etc.) and physiological (iris characteristics, fingerprint, etc.).  ...  stylus connected to a computer to extract information about a signature and takes dynamic information like; pressure, velocity, etc whereas in offline approach stable dynamic variations are not used for  ...  Neural networks are among the most commonly used classifiers for pattern recognition problems.  ... 
doi:10.5120/199-338 fatcat:nb4czab2ozfn5hxm4pb24jq7ha

On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment [chapter]

Meng Joo Er, Piotr Duda
2012 Lecture Notes in Computer Science  
and Contour Curvature Using Method of Hurwitz-Radon Matrices 518 Dariusz Jakobczak and Witold Kosinski Vision-Based Recognition of Fingerspelled Acronyms Using Hierarchical Temporal Memory -527  ...  Jung and Dariusz Krol A Method for Tuning User Profiles Based on Analysis of User Preference Dynamics in Document Retrieval Systems 673 Bernadetta Mianowska and Ngoc Thanh Nguyen A Term Normalization  ... 
doi:10.1007/978-3-642-29347-4_5 fatcat:pqwbzeuqsbg6lkhlmmrsj6qb24

Finger Vein Biometrics: Taxonomy Analysis, Open Challenges, Future Directions and Recommended Solution for Decentralised Network Architectures

A.H. Mohsin, N. S. Jalood, M. J. Baqer, A. H. Alamoodi, E. M. Almahdi, A. S. Albahri, M. A. Alsalem, K. I. Mohammed, H. A. Ameen, Salem Garfan, A.A. Zaidan, B.B. Zaidan (+6 others)
2020 IEEE Access  
a new imaging device for simultaneous FV and fingerprint acquisition and a new FV recognition algorithm.  ...  The Radon transform focused on a small amount of data with highvalue coefficients, whereas ANN was applied in data analysis and FV pattern recognition.  ... 
doi:10.1109/access.2020.2964788 fatcat:m47a5abynjcltmu622qooqyvfa

An Alignment-free Approach for Image Matching Applications

Komal Komal
2018
For higher accuracy and efficiency, this thesis has proposed a new transform based alignment approach for registering images and an alignment-free approach the can match images without explicitly extracting  ...  Sandhan et al. [171], have developed a method based on abstracted Radon profiles which extracts the global properties of fingerprint and does not need extensive image preprocessing.  ...  Most conventional approaches for fingerprint recognition are matching based on fingerprint features. However, the use of the Radon transform for fingerprint recognition is quite a different approach.  ... 
doi:10.26180/5b4412fa75f1e fatcat:lfe6cc33rbeldnttwscf5hqq6a

Source apportionment of atmospheric mercury in the remote marine atmosphere: Mace Head GAW station, Irish western coast

Danilo Custodio, Ralf Ebinghaus, T. Gerard Spain, Johannes Bieser
2020 Atmospheric Chemistry and Physics  
Abstract. We examined recent atmospheric mercury concentrations measured with a high temporal resolution of 15 min at Mace Head, a GAW station on the western coast of Ireland.  ...  A conservative analysis demonstrated no decrease in total gaseous mercury (TGM) associated with atmospheric species typically used as tracers for oceanic emissions.  ...  PMF is a stereo algorithm where analytical data sets are combined to create fingerprints and the profile is used to assess the contribution of each source based on the mass load, also providing a robust  ... 
doi:10.5194/acp-20-7929-2020 fatcat:ndxgarxy7rfy7lpj4i3iapz2c4

Novel biomarkers and endoscopic techniques for diagnosing pancreaticobiliary malignancy

Margaret G Keane, Amar Shah, Stephen P Pereira, Deepak Joshi
2017 F1000Research  
.: Dysbindin as a novel biomarker for pancreatic ductal adenocarcinoma identified by proteomic profiling. Int J Cancer. 2016; 139(8): 1821-9.  ...  Radon TP, Massat NJ, Jones R, et al.: Identification of a Three-Biomarker Panel in Urine for Early Detection of Pancreatic Adenocarcinoma. Clin Cancer Res. 2015; 21(15): 3512-21.  ...  The search was restricted to title, abstract and keywords. Articles that described outcomes for fewer than five patients were excluded. Case reports, abstracts and reviews were excluded.  ... 
doi:10.12688/f1000research.11371.1 pmid:28944047 pmcid:PMC5585877 fatcat:4hvmjia4zjfknoh64cclt2ex2m

Multispectral Palmprint Encoding and Recognition [article]

Zohaib Khan, Faisal Shafait, Yiqun Hu, Ajmal Mian
2014 arXiv   pre-print
Recognition results in various experimental setups show that the proposed method consistently outperforms existing state-of-the-art methods.  ...  Palmprints are emerging as a new entity in multi-modal biometrics for human identification and verification.  ...  Multispectral Palmprint Encoding and Recognition Zohaib Khan, Faisal Shafait, Yiqun Hu, and Ajmal Mian Abstract-Palmprints are emerging as a new entity in multimodal biometrics for human identification  ... 
arXiv:1402.2941v1 fatcat:3qsm64vgtncvli2zleufi2utau

Visual analysis of faces with application in biometrics, forensics and health informatics [article]

Mohammad Ahsanul Haque
2016 Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet  
The Radon image, which contains the features that are going to be used for the recognition in [45] , is then generated from the waterfall by applying a Radon transform to the waterfall diagram.  ...  sessions recorded in different days, the recognition rate drops to 76.9% for the rank-1 recognition, but still as high as 93.5% for rank-15 recognition.  ...  applications, for example, in patient monitoring and biometric recognition.  ... 
doi:10.5278/vbn.phd.engsci.00104 fatcat:445elv6ftfcw3lhg7svwqx3ifu

Oral Presentations

2003 Analytical Cellular Pathology  
Moreover, it opens a synesthetic way for understanding textures and microscopic structures, since the auditory system can be used for pattern recognition.  ...  Powerful bioinformatics and biostatistics will further improve our pattern recognition and accelerate progress.  ... 
doi:10.1155/2003/473736 fatcat:amhylvhuabbclccos4xwvxqhmq

HESS Opinions: From response units to functional units: a thermodynamic reinterpretation of the HRU concept to link spatial organization and functioning of intermediate scale catchments

E. Zehe, U. Ehret, L. Pfister, T. Blume, B. Schröder, M. Westhoff, C. Jackisch, S. J. Schymanski, M. Weiler, K. Schulz, N. Allroggen, J. Tronicke (+6 others)
2014 Hydrology and Earth System Sciences  
<p><strong>Abstract.  ...  A key requirement for building structurally adequate models precisely for this intermediate scale is a better understanding of how different forms of spatial organization affect storage and release of  ...  We sincerely thank the German Research Foundation (DFG) and the Fonds National de la Recherche in Luxembourg (FNR) for funding this research through the CAOS Research Unit (FOR 1598, ZE 533/9-1), as well  ... 
doi:10.5194/hess-18-4635-2014 fatcat:xnl2i3ubxjfvbdmylt3yz2vona

Detecting marine hazardous substances and organisms: sensors for pollutants, toxins, and pathogens

O. Zielinski, J. A. Busch, A. D. Cembella, K. L. Daly, J. Engelbrektsson, A. K. Hannides, H. Schmidt
2009 Ocean Science (OS)  
., 6, 953-1005 www.ocean-sci-discuss.net/6/953/2009/ Abstract Marine environments are influenced by a wide diversity of anthropogenic and natural substances and organisms that may have adverse effects  ...  Future developments will include the integration of existing methods into complex and operational sensing systems for a comprehensive strategy for long-term monitoring.  ...  The authors thank all participants of this workshop for their valuable discussion input and comments on the first draft of this work. We also acknowledge the efforts of T. Dickey, R. Prien, and 15 G.  ... 
doi:10.5194/os-5-329-2009 fatcat:k3qupx776nhnpi6eauhkyz5fju

Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition [article]

Zohaib Khan
2014 arXiv   pre-print
This thesis proposes spatio-spectral techniques for hyperspectral image analysis.  ...  It was found that the joint sparse and joint group sparse hyperspectral image models achieve lower reconstruction error and higher recognition accuracy using only a small subset of bands.  ...  Recognition based on multispectral fingerprints outperformed traditional fingerprints. Face Recognition Face recognition has an immense value in human identification and surveillance.  ... 
arXiv:1407.7686v1 fatcat:cdx3eaoyvjaf7d6ve56c7ohv54
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